FAYETTEVILLE, GA, UNITED STATES, February 6, 2026 /EINPresswire.com/ -- A study in Risk Sciences examines whether ...
Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...
2d
Kalshi may be more useful than some traditional economic forecasting methods, Fed researchers find
The Fed paper found that Kalshi's markets provide data that's "valuable to both researchers and policymakers." ...
A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results